Machine Learning Engineer - Product Marketing Customer Analytics
Core
Build predictive analytics models and ML pipelines to understand customer behavior and provide actionable insights to Product Marketing, Investor Relations, and the Executive Team.
Role type
Senior IC machine learning engineer (predictive analytics & analytic engineering)
Builds
Scalable ML algorithms, end-to-end ML pipelines, and production model hosting for customer engagement analysis
Domain
Consumer technology, predictive analytics, customer analytics
Deliverable
production ML models
Required skills
Large-scale data processing, predictive modeling, deep learning, MLOps, distributed systems, feature engineering, model serving, SQL optimization
Preferred skills
Advanced analytic techniques (regression, clustering, classification, optimization), production model hosting, performance optimization, feature stores, automated retraining pipelines, CI/CD integration, high-volume ML workflows, fault-tolerant solutions
Technologies
Spark, Kubernetes, GPU clusters, Tensorflow, Pytorch, Oracle, Hadoop, Snowflake
Responsibilities
Translate product requirements into modeling and engineering tasks; develop and optimize deep learning and traditional ML solutions on high-volume datasets; design and implement end-to-end ML pipelines from feature engineering to model serving; manage ML projects through all phases including data quality, algorithm development, and deployment; partner with data engineers to operationalize models; tackle non-routine analysis/prediction problems; prototype analysis pipelines at scale.
Seniority
Senior, hands-on IC
